Predicting Response to Transarterial Chemoembolization in Hepatocellular Carcinoma Using Machine Learning Models

We utilized a multimodal approach to predict response to TACE in HCC patients. Further optimization and multicenter data sets are required to enhance predictive accuracy further.

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Publication Details

Journal
Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging
Published
2025-05-27
DOI
https://doi.org/10.1055/s-0045-1809372
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting Response to Transarterial Chemoembolization in Hepatocellular Carcinoma Using Machine Learning Models

Niharika Dutta, Pankaj Gupta
Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging
Radiomics and Machine Learning in Medical Imaging
article

Predicting Response to Transarterial Chemoembolization in Hepatocellular Carcinoma Using Machine Learning Models

Niharika Dutta, Pankaj Gupta
article en

Abstract

We utilized a multimodal approach to predict response to TACE in HCC patients. Further optimization and multicenter data sets are required to enhance predictive accuracy further.

Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & ImagingVol. 36(02)
Post Graduate Institute of Medical Education and Research (IN)
Openalex Percentile: Top 82%
Radiomics and Machine Learning in Medical Imaging
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Predicting Response to Transarterial Chemoembolization in Hepatocellular Carcinoma Using Machine Learning Models — Niharika Dutta, Pankaj Gupta · Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging (2025) | TGRS Research Map | TGRS